DocumentCode
2838134
Title
A BP Neural Network Model Based on Genetic Algorithm for Comprehensive Evaluation
Author
Sun, Xin ; Liu, Qiongxin ; Zhang, Lei
Author_Institution
Sch. of Comput. Sci. & Technol., Beijing Inst. of Technol., Beijing, China
fYear
2011
fDate
17-18 July 2011
Firstpage
1
Lastpage
5
Abstract
BP algorithm can be applied in comprehensive evaluation. A hybrid neural network based on the combination of GA and BP algorithms is proposed. The algorithm made fully use of GA´s global searching to improve the learning ability of BP neural network. Then, the method is used in comprehensive evaluation, which the genetic algorithm can improve the weights of the neural network and enhance the training precision of the neural network. The experimental results show that the method is valid and feasible.
Keywords
backpropagation; genetic algorithms; learning (artificial intelligence); neural nets; BP neural network model; comprehensive evaluation; genetic algorithm; hybrid neural network; learning ability; training precision; Algorithm design and analysis; Artificial neural networks; Biological neural networks; Genetic algorithms; Numerical models; Security; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Circuits, Communications and System (PACCS), 2011 Third Pacific-Asia Conference on
Conference_Location
Wuhan
Print_ISBN
978-1-4577-0855-8
Type
conf
DOI
10.1109/PACCS.2011.5990269
Filename
5990269
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